select.dict: Select Dictionaries
In lingmatch: Linguistic Matching and Accommodation

select.dict

R Documentation

Select Dictionaries

Description

Retrieve information and links to dictionaries (lexicons/word lists) available at osf.io/y6g5b.

Usage

select.dict(query = NULL, dir = getOption("lingmatch.dict.dir"),
  check.md5 = TRUE, mode = "wb")

Arguments

`query`	A character matching a dictionary name, or a set of keywords to search for in dictionary information.
`dir`	Path to a folder containing dictionaries, or where you want them to be saved. Will look in getOption('lingmatch.dict.dir') and '~/Dictionaries' by default.
`check.md5`	Logical; if `TRUE` (default), retrieves the MD5 checksum from OSF, and compares it with that calculated from the downloaded file to check its integrity.
`mode`	Passed to `download.file` when downloading files.

Value

A list with varying entries:

info: The version of osf.io/kjqb8 stored internally; a data.frame with dictionary names as row names, and information about each dictionary in columns.
Also described at osf.io/y6g5b/wiki/dict_variables, here short (corresponding to the file name [{short}.(csv|dic)] and wiki urls [https://osf.io/y6g5b/wiki/{short}]) is set as row names and removed:
- name: Full name of the dictionary.
- description: Description of the dictionary, relating to its purpose and development.
- note: Notes about processing decisions that additionally alter the original.
- constructor: How the dictionary was constructed:
  - algorithm: Terms were selected by some automated process, potentially learned from data or other resources.
  - crowd: Several individuals rated the terms, and in aggregate those ratings translate to categories and weights.
  - mixed: Some combination of the other methods, usually in some iterative process.
  - team: One of more individuals make decisions about term inclusions, categories, and weights.
- subject: Broad, rough subject or purpose of the dictionary:
  - emotion: Terms relate to emotions, potentially exemplifying or expressing them.
  - general: A large range of categories, aiming to capture the content of the text.
  - impression: Terms are categorized and weighted based on the impression they might give.
  - language: Terms are categorized or weighted based on their linguistic features, such as part of speech, specificity, or area of use.
  - social: Terms relate to social phenomena, such as characteristics or concerns of social entities.
- terms: Number of unique terms across categories.
- term_type: Format of the terms:
  - glob: Include asterisks which denote inclusion of any characters until a word boundary.
  - glob+: Glob-style asterisks with regular expressions within terms.
  - ngram: Includes any number of words as a term, separated by spaces.
  - pattern: A string of characters, potentially within or between words, or spanning words.
  - regex: Regular expressions.
  - stem: Unigrams with common endings removed.
  - unigram: Complete single words.
- weighted: Indicates whether weights are associated with terms. This determines the file type of the dictionary: dictionaries with weights are stored as .csv, and those without are stored as .dic files.
- regex_characters: Logical indicating whether special regular expression characters are present in any term, which might need to be escaped if the terms are used in regular expressions. Glob-type terms allow complete parens (at least one open and one closed, indicating preceding or following words), and initial and terminal asterisks. For all other terms, [](){}*.^$+?\| are counted as regex characters. These could be escaped in R with gsub('([][)(}{*.^$+?\\|])', '\\\1', terms) if terms is a character vector, and in Python with (importing re) [re.sub(r'([][(){}*.^$+?\|])', r'\\1', term) for term in terms] if terms is a list.
- categories: Category names in the order in which they appear in the dictionary file, separated by commas.
- ncategories: Number of categories.
- original_max: Maximum value of the original dictionary before standardization: original values / max(original values) * 100. Dictionaries with no weights are considered to have a max of 1.
- osf: ID of the file on OSF, translating to the file's URL: https://osf.io/osf.
- wiki: URL of the dictionary's wiki.
- downloaded: Path to the file if downloaded, and '' otherwise.
selected: A subset of info selected by query.

Examples

# just retrieve information about available dictionaries
dicts <- select.dict()$info
dicts[1:10, 4:9]

# select all dictionaries mentioning sentiment or emotion
sentiment_dicts <- select.dict("sentiment emotion")$selected
sentiment_dicts[1:10, 4:9]

lingmatch documentation built on May 29, 2024, 11:48 a.m.